Pith. sign in

Paper Citation Record · LEDGER

LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2312.04817.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2312.04817 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:46.777607Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T10:48:03.110683Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4ab2a01c-661f-48cf-84a2-5a7e27e45e4b · inbound

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark cites this paper.

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:22:35.159910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T20:22:34.954228Z digest=sha256:a6a8a20a46cfa802b666fed3ac4e6b5f020652d4c9d942afc5b222edd36c6f73

Observation ae72e675-30fe-4b74-869a-5384faed57bf · inbound

LVBench: An Extreme Long Video Understanding Benchmark cites this paper.

LVBench: An Extreme Long Video Understanding Benchmark LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:55:30.142703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T11:55:30.048525Z digest=sha256:f08a70623674452acc5b411a6270555cde7aed79286bf4db7727ad58a9c0d997

Observation 428835ff-04fc-425d-834c-bd2a36c4e492 · inbound

VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling cites this paper.

VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:02:43.607191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:02:43.261543Z digest=sha256:62f8de704af4327e72a50c3ddc9147a128c52e25dd387f42ab2dddf9141c8fb8

Observation 957433df-c785-46cb-a36e-7d1aaf9c4f52 · inbound

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling cites this paper.

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-17T02:52:20.823715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T02:52:20.643070Z digest=sha256:52f5238b6888376d9c5d2dc179df67d4f8e887297430cff7616bd9faffc5d1e3

Observation ec5f4923-2264-490d-828d-3ffec31585c1 · inbound

ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding cites this paper.

ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:46.777607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:40:46.777607Z digest=sha256:64f97efe6af79d9468208b1d7a52b1132e31d72477ee21238b3b92028965b9f2

Observation c50a5b54-c58a-4ec4-a0ec-576e08ced5d2 · inbound

EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World? cites this paper.

EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World? LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:10.653423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:10.653423Z digest=sha256:9cf4f5894694d092bf4efc677f61fe8de7024becff127baa4cdf27bce4e5aef1

Observation 21a9f31e-4cd3-4917-a883-0863f50c32fb · inbound

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding cites this paper.

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T06:00:57.022279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:00:57.022279Z digest=sha256:05e54db6dab3802a24177af8404ce3dca50bba40e68e067f68c9388a4bfb68a1

Observation 636a398c-4161-4ff9-b1c1-fda5a06ae8a4 · inbound

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos cites this paper.

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-07T04:22:56.102015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:22:56.102015Z digest=sha256:57f1a45940850d28ccb49a0a50aa2fc4a64af15899fb25291b40edc7d3e7a275

Observation a879c858-06fc-482b-a4a0-6b52e9ec6ad2 · inbound

A Benchmark for Omni-Modal Reasoning in Long Videos cites this paper.

A Benchmark for Omni-Modal Reasoning in Long Videos LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:15.994865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:15.994865Z digest=sha256:213a54cc3b8a859831adfe07328ebd36c78cadda5e1a9d23f48599c30550d364

Observation 26c1f211-0800-428d-97b7-f0a13df8ef32 · inbound

TrajTok: Learning Trajectory Tokens enables better Video Understanding cites this paper.

TrajTok: Learning Trajectory Tokens enables better Video Understanding LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:16:31.804229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T19:11:52.694778Z digest=sha256:30c0f94d2fcbc390732393551fa157547a07d2426372efc15cd28e5f60214563

Observation 175555d1-b992-4fb6-a7d0-6e7359284945 · inbound

TrajTok: Learning Trajectory Tokens enables better Video Understanding cites this paper.

TrajTok: Learning Trajectory Tokens enables better Video Understanding LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-02T20:38:45.233510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:38:45.233510Z digest=sha256:b33b06e0b95fa446234a24fbf1fea0017d4c03a50312fdbe423d33d1d23a65f2

Observation a02539c8-ea59-4b32-ab75-9be824ef1ee4 · inbound

Seeing the Scene Matters: Revealing Forgetting in Video Understanding Models with a Scene-Aware Long-Video Benchmark cites this paper.

Seeing the Scene Matters: Revealing Forgetting in Video Understanding Models with a Scene-Aware Long-Video Benchmark LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:04.437856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T22:05:07.326202Z digest=sha256:38787156c8d147cc165977550344b0e355c29c58114d32a3d1659b512887b528

Observation afb64882-6174-4dee-bbc4-b2650d69ff26 · inbound

UNIVID: Unified Vision-Language Model for Video Moderation cites this paper.

UNIVID: Unified Vision-Language Model for Video Moderation LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 72

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:07:09.257183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T22:56:26.674841Z digest=sha256:dddc99ed3ac5ec707d64edc97b0c8d1b25247f56d01052ffec2a9092bc673a2e

Observation 6aca7357-35da-4e1d-bc2e-ad6192927c40 · inbound

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 299

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T10:48:03.112146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T09:48:27.652901Z digest=sha256:9dda90ea79c97ee58f0f6e9f6f060b9ad6cb4c63db32992b6f4f5d96ecc81d1c